DocumentCode :
1690211
Title :
Short-term forecast research based upon multi-robot soccer match
Author :
Wang, Jianguo ; Guo, Xinguang ; Bao, Jianwu ; Zhang, Yilong
Author_Institution :
Sch. of Autom. Eng., Northeast Dianli Univ., Jilin, China
fYear :
2010
Firstpage :
4722
Lastpage :
4725
Abstract :
Short-term forecast is proposed into the competition strategy of multi-robot soccer match, which focuses on the abilities improvements of attack and defence, increasing the success ratio as well. The Parabolic model is adopted to forecast the position of the measured objects, in addition, the corresponding parameters involved are estimated by least squares method (LSM). The results demonstrate that the ratio of scoring and stealing by using the short-term forecast solution mentioned above can be raised by 40.38% and 72.26% respectively, which then enhances the performances of attack and defence remarkably.
Keywords :
least squares approximations; multi-robot systems; least squares method; multirobot soccer match; parabolic model; short-term forecast research; Automation; Mobile robots; Predictive models; Robot kinematics; Robot sensing systems; Solid modeling; 5Vs5 simulation; forecast time; robot team; short-term forecast;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
Type :
conf
DOI :
10.1109/WCICA.2010.5554547
Filename :
5554547
Link To Document :
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